about work projects blog contact

hey, i'm

Samuel
Jayasingh

ai/ml engineer building intelligent systems.
currently @ spritle software · chennai, india.

$ cat ./about.md

i'm a junior software engineer specialising in artificial intelligence at spritle software, where i research and develop generative AI models — transformers, diffusion models, gans, and vaes.

my work spans llm-powered applications, multi-agent orchestration systems, rag pipelines, and production-grade ml — from industrial failure prediction to ai chatbots and image generation platforms.

b.tech in artificial intelligence and data science · rajalakshmi institute of technology · cgpa 8.0/10.

technologies

PythonTypeScriptJavaScriptC++PyTorchTensorFlowHugging Facescikit-learnOpenCVTransformersDiffusion ModelsGANsVAEsDDPMLangChainLlamaIndexRAGMulti-Agent SystemsPrompt EngineeringFine-tuningLoRA / QLoRAChromaDBPostgreSQLMongoDBRedisMLflowApache AirflowDockerFastAPIFlaskRESTful APIsGupshup APIReactReact NativeClaude SDKMCP ServersGitFirebase

$ ls -la ./experiences

Jan 2026 – Present

Junior Software Engineer, AI

Spritle Software · Chennai

  • researching and developing generative ai models: transformers, diffusion, gans, vaes
  • building llm-powered applications and ml pipelines with pytorch, tensorflow, hugging face
  • optimising model performance and developing production-grade ai systems

Oct 2025 – Jan 2026

Software Engineer Intern, AI

Spritle Software · Chennai

  • designed agentic ai architectures evolving from single-agent to multi-agent orchestration
  • implemented rag pipelines using fastapi, chromadb, and async embedding workflows
  • built api toolkits and postgresql streaming query tools using claude sdk and mcp servers
  • developed automated vulnerability scanning and remediation workflows

Jul – Dec 2024

AI Automation Intern

Vleafy Technologies · Chennai

  • built conversational ai chatbots using llms and nlp for customer interaction
  • automated backend workflows with python and gupshup apis
  • integrated ai modules into full-stack web apps via restful services

Jul 2023 – Jan 2024

Data Analyst & ML Intern

ZF Group – WABCO India · Chennai

  • designed a dynamic bus tracking system using mapping apis
  • processed and engineered features from large-scale route data
  • developed automated python dashboards for monitoring system metrics

$ cat projects.json

whatsapp mcp

mcp server bridging personal whatsapp accounts with ai clients via a go binary (whatsmeow) and python flask api. supports text, image, video, audio, and document messaging, full chat history retrieval, and full-text message search across local sqlite storage.

go · python · flask · whatsmeow · sqlite · mcp

stitch mcp

mcp server exposing google stitch's ui generation api as structured tools — create projects, generate screens from natural language prompts, manage design systems, and produce design variants. lets claude and other ai clients drive interface creation conversationally.

python · mcp · google stitch api · fastmcp

gitlab mcp server

mcp server exposing 40+ gitlab operations as structured tools for ai clients like claude and cursor — repo management, branch protection, merge requests, issue tracking, ci/cd log retrieval, and cross-project search. includes a standalone gemini-powered autonomous agent.

python · mcp · gitlab api · pydantic · docker

darkqwen lora finetune

fine-tuned qwen3.5-0.8b using lora via the unsloth framework on adversarial datasets for red-teaming and safety evaluation research. reduced training loss from ~1.88 to ~1.39 over 60 steps. built for robustness benchmarking, not deployment.

python · lora / qlora · unsloth · hugging face · pytorch

universal windows debloater

powershell tool that removes 40+ pre-installed bloatware apps, disables telemetry and cortana, strips bing from windows search, and declutters the taskbar and file explorer on windows 10/11. supports preset and granular modes with full rollback via registry files.

powershell · batch · windows 10/11 · registry

predictive maintenance pipeline
2026

end-to-end ml pipeline for predicting industrial equipment failures from sensor telemetry. uses autoencoder-based anomaly detection, feature engineering on time-series data, apache airflow for orchestration, and mlflow for experiment tracking and model versioning.

python · autoencoders · apache airflow · mlflow · pytorch

smartle
2025

multi-agent knowledge answering system with specialised agents for documents, apis, databases, and web sources. implements task routing, short-term memory, and tool-based reasoning across heterogeneous data sources.

python · langchain · rag · multi-agent · chromadb

securaai
2025

agentic cli tool for automated application and infrastructure security analysis. autonomous agents handle threat modelling, cve mapping, and remediation suggestion across codebases and deployment configs.

python · llms · security · cli

$ ls -la ./blog

[faith] what's god's love? understandin Agape luvvv! May 2026

a personal reflection on agape love, christian purpose, and what it means to live with faith at the centre — not just on sundays.

faith · christianity · purpose · reflection 6 min read
[tools] building with the claude sdk — tools, mcp, and what i've learned Jan 2026

a practical look at building production systems with the anthropic claude sdk — tool use, streaming, mcp servers, and the projects i've shipped with it.

claude · anthropic · mcp · tool-use · python 7 min read
[tools] mcp servers: giving ai agents real tools Jan 2026

how i built an mcp server to expose 40+ gitlab operations as structured tools for ai clients — the protocol, the architecture, and what surprised me.

mcp · agents · api · python 5 min read
[engineering] building multi-agent systems with langchain May 2025

a deep dive into designing production multi-agent architectures — task routing, memory management, tool orchestration, and the pitfalls i hit along the way.

llms · agents · python · langchain 8 min read
[engineering] rag pipelines: from prototype to production Mar 2025

what actually changes when you move a rag system from a notebook to prod — chunking strategies, embedding choices, reranking, and async retrieval at scale.

rag · chromadb · fastapi · python 6 min read
[engineering] fine-tuning llms on custom datasets Feb 2025

a practical guide to fine-tuning open-source llms using peft and qlora — from dataset curation and formatting to training and quantised inference.

llms · fine-tuning · pytorch · qlora 10 min read
[engineering] diffusion models from scratch Dec 2024

implementing ddpm in pytorch from first principles — the math behind forward and reverse diffusion, noise schedules, and training a small image model.

diffusion · pytorch · generative-ai · deep learning 12 min read

$ ./contact.sh

let's build
something.

always open to interesting problems, collaborations, and new opportunities. whether it's ai, full-stack, or something in between — reach out.